Analytics2Go has developed an overall strategy for providing the power of data analytics to businesses of all sizes. However, all businesses are not alike. For example, a bike store owner is required to make business decisions related to sales, which will differ in both urgency and importance to overall revenue from the decisions a quick-service restaurant owner needs to make. To address these differences, A2Go has developed many
A2Go Microapps run on the A2Go platform. Our platform blends a customer's internal data and our external datasets together and feeds them into our Machine Learning (ML) algorithms. The A2Go platform contains the algorithm selection process that chooses the best ML models for a given dataset. The ML model is maintained and continually improves, as new data is ingested. The output of the A2Go platform is sent to the customer in the form of predictions on future performance, recommended actions to end-users, and KPI (Key Performance Indicators) measurements when appropriate. Without your own personal data scientist, it would be impossible to pull out this same information from your own data. A2Go
A2Go has developed a customizable KPI microapp. The specific Key Performance Indicators we include for a customer are based on what we learn from the customers and industry experts regarding what is important to their business processes. Some indicators are useful to businesses that are heavily reliant on shipping/delivery services, while others apply more to businesses that use large machinery, which involves large capital investment.
Once A2Go has built and deployed your
There is a big emphasis on customer engagement and satisfaction in today’s highly competitive economy. Customer engagement is critically important to companies of all sizes. Businesses need to customize experiences for their clientele and communicate with individual customers, only when relevant to that particular customer.
Mass emails are old news and are an annoyance to most consumers who engage in either online or in-store shopping. You need targeted marketing campaigns in order to reach only the customers whom you want to reach. This approach is now the norm and, quite frankly, expected. Customer segmentation is a very powerful tool, which is used heavily by enterprise giants like Amazon and Google. Our A2Go microapps will provide you with customer segments based on their personal shopping data.
It is easiest to understand by using an example. To better understand demand prediction of product x at a retailer with 1000s of stores in many geographical locations, external data specific to location, weather, local events, economic indicators, etc. will lift the accuracy of any Machine Learning model predictions because they have been "customized" with a combination of store data and our external data.
All external datasets are continuously updated—many in real time. The A2Go datasets are either publicly available data, which we have cleaned and curated, for use in our